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External test set consists of 1164 active and 2167 inactive compounds.
The predictability of the derived model is examined with a test set consists of sixteen compounds and the predicted r2 value is found to be 0.924.
For the speech-to-speech translation task (VT), the test set consists of 1916 utterances of VoiceTra4U-M data not included in the training set.
The test set consists of 34 hydrogen atoms from seven protein structures, which have either a resolution ≤ 0.9Å if they were obtained by X-ray crystallography or a resolution of ≤ 1.8Å if they were obtained by neutron diffraction.
The results show that the correction accuracy was enhanced by nearly 3.5% using the 4-gram token-based language model where the test set consists of 1500 test cases extracted from the Qatar Arabic Language Bank (QALP) corpus [28].
While the training set with all si and sx sentences has 3,698 utterances, the test set consists of all si and sx sentences from the complete 168-speaker test set, which has 1,344 utterances.
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The test set consisted of 100 grey-scale images with a resolution of 512 × 512.
The test set consisted of 4,403 compounds distributed over 63 7TM1 proteins.
The QSPR model available was tested by an external test set consisting of 8 compounds.
At the end, the model was tested with the independent test set consisting of bonds from 100 molecules.
This calibration was validated with a test set consisting of 14 samples in the same concentration range.
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CEO of Professional Science Editing for Scientists @ prosciediting.com